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$134.1b

24H VOL:

$113,466,932

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2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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UD Las Palmas vs. AD Ceuta FC
kalshi
polymarket

UD Las Palmas vs. AD Ceuta FC

Volume:
$122,315

UD Las Palmas

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 8, 2026

Closed: Mar 8, 9:00 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

UD Las Palmas

View
100%
Yes 100¢No 0¢
—
N/A
$53,351
N/A
N/A
N/A
Settled
Yes
kalshi

Las Palmas

View
100%
Yes 100¢No 0¢
—
N/A
$15,552
N/A
N/A
$8,410
Settled
Yes
kalshi

Ceuta

View
0%
Yes 0¢No 100¢
—
N/A
$31,170
N/A
N/A
$11,755
Settled
No
polymarket

AD Ceuta FC

View
0%
Yes 0¢No 100¢
—
N/A
$12,223
N/A
N/A
N/A
Settled
No
polymarket

Draw (UD Las Palmas vs. AD Ceuta FC)

View
0%
Yes 0¢No 100¢
—
N/A
$7,912
N/A
N/A
N/A
Settled
No
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$2,107
N/A
N/A
$2,107
Settled
No
Total markets: 6

Description

This event group covers a professional La Liga 2 soccer match between UD Las Palmas and AD Ceuta FC scheduled for March 8, 2026. Markets across Kalshi and Polymarket assess the outcome (win/loss/draw) based on the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms consistently resolve on the 90-minute plus stoppage time outcome using official La Liga sources, with aligned handling of postponements and cancellations.Primary resolution logic: Official La Liga statistics (laliga.com) as recognized by the governing body; credible reporting consensus if official statistics unavailable within 2 hours post-match.

Core resolution logic:

  • Match outcome determined after 90 minutes of regular play plus stoppage time only; extra time and penalties are excluded.
  • Three mutually exclusive outcomes: UD Las Palmas win, AD Ceuta FC win, or draw.
  • Kalshi covers all three outcomes in a single market structure (all resolve Yes if match is played).
  • Polymarket offers three separate binary markets: Las Palmas win (Yes/No), Ceuta win (Yes/No), and draw (Yes/No).
  • If match is postponed, all markets remain open until the rescheduled match is completed.
  • If match is canceled with no make-up game: Kalshi markets resolve Yes (outcome-agnostic); Polymarket win/loss markets resolve No, draw market resolves Yes.

Edge cases & clarifications:

  • Postponement: If the match is postponed, all markets on both platforms remain open and unresolved until the rescheduled match is completed and a final result is determined.
  • Cancellation without rescheduling: Kalshi: all markets resolve Yes. Polymarket: Las Palmas win and Ceuta win markets resolve No; draw market resolves Yes.
  • Official statistics delay: If La Liga does not publish official match statistics within 2 hours of match conclusion, resolution uses consensus of credible reporting sources.
  • Extra time or penalties: These are explicitly excluded from resolution scope; only the 90-minute plus stoppage time result counts.
Timing: Resolution occurs after the match concludes (90 minutes plus stoppage time). Official La Liga statistics are the primary source; if unavailable within 2 hours, credible reporting consensus is used. Markets remain open if postponed until the rescheduled match is completed.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.